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A comparative study of deep learning methods for automating road condition characterization
(Brac University, 2020-04)
Roads in Bangladesh provide infrastructural facilities to both agricultural as well as industrial sectors of the country. Distressed roads can cause fatal accidents as well as largely decelerate sector progress. This makes ...
A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
(Brac University, 2020-04)
In today's world, technological advancements have entangled our nancial, social
and many more other aspects of lives to the internet or some network. Moreover,
with the development of IoT technologies, it has spread ...
Ejection fraction estimation using deep semantic segmentation neural network on 2D Echocardiography data
(Brac University, 2020-04)
Ejection fraction value denotes how much blood is pumped out of the heart to different parts of the body. It is a routine clinical procedure in heart function assessment,
where the left ventricle of the heart has to be ...
Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
(Brac University, 2020-04)
There are many sounds all around us and our brain can easily and clearly identify
them. Furthermore, our brain processes the received sound signals continuously and
provides us with relevant environmental knowledge. ...
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
(Brac University, 2020-03)
Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is
highly requisite for the treatment, screening, diagnosis ...
Comparison of different CNN architectures for brain tumor detection using fMRI
(Brac University, 2020-04)
Brain is the most vital organ of human body which controls the entire nervous system of human body. In that case, if anything goes wrong inside our brain the entire
nervous system gets collapsed. The brain tumors are the ...
Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
(Brac University, 2020-04)
Uterine cervical cancer is the second most regular gynecological harm around the
world. The appraisal of the degree of sickness is fundamental for arranging ideal
treatment. Imaging procedures are progressively utilized ...
Multi-modal emotion recognition for determining employee satisfaction
(Brac University, 2020-04)
Emotion Detection has been very popular in the field of research for a couple of
years. In the past, emotion recognition has been studied and applied in order to
detect the overall emotional state of a person using ...
Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
(Brac University, 2020-04)
Parkinson’s disease is a neurological condition that is dynamic and steadily influences the movement of the human body. It causes issues within the brain and slowly
increments time by time. Tremor is the major side effect ...